RESPONSIBILITIES
- A minimum of 5-7 years of experience in business event production, MICE management, community management or internal communications
- Proficiency in digital communication tools and platforms (e.g., MS Teams, project management software, Adobe Creative Suite, Figma)
- Proven experience in developing and implementing change management concepts
- Outstanding organisational, self-organisational & project management skills
- Creative mindset paired with developed business acumen
- Excellent written & verbal communication abilities
- Self-driven, reliable, and resilient in a dynamic and fast changing environment
- Analytical mindset and process-oriented thinking combined with conceptual competence
- Ability to build relationships and work with people at all levels
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RESPONSIBILITIES
- 15+ years of experience in departments such as Data, IT, Operations, Supply Chain or Finance
- 5+ years of experience in managing Teams.
- Master’s degree in Process Management, Business administration, Information System, Engineering or similar field.
- Budget management experience & Project management skills (Agile & Waterfall) are essential.
- Proven previous hands-on experience in business process management, process analysis, business process improvement, digital transformation or process management consulting is required.
- Familiarity with process tools (e.g. Celonis, UiPath, Power Automate, ARIS) and project management tools (e.g. Confluence, JIRA, workfront) as well as related concepts.
- Advanced Level of Knowledge in Microsoft Office Suite and Business Applications (SAP S4HANA, SAP MDG, SAP BW, SAC, SAP BI-IP Planning, Ariba)
- Strong analytical and problem-solving skills, with the ability to interpret data and deliver actionable business insights.
- Exceptional communication skills for both technical and non-technical audiences and change management capabilities.
- Strong organizational and documentation skills; able to manage multiple priorities effectively.
- Collaborative and proactive mindset, comfortable working with cross-functional teams.
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RESPONSIBILITIES
- 7+ years in IT infrastructure architecture or related roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- English mandatory, German optional.
- Proven expertise in data integration platforms (e.g., Azure Data Factory) and/or disaster recovery planning.
- Strong knowledge of hybrid cloud environments (Azure, AWS).
- Proficiency in virtualization, storage, networking, and backup technologies.
- Familiarity with automation tools and Infrastructure as Code (IaC).
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Vollzeit
Klagenfurt, Linz Urfahr, Salzburg, Sankt Johann im Pongau
11.12.2025
Klagenfurt, Linz Urfahr, Salzburg, Sankt Johann im Pongau
ALL ABOUT: CREATING SAFETY BY TECHNOLOGY
- Design and develop robust, scalable Java 21 services with Spring Boot 3 for high-availability solutions.
- Utilize modern backend technologies like Elasticsearch, Redis, RabbitMQ, and relational databases.
- Contribute to software architecture design and ensure future-proof backend services.
- Ensure code reliability and maintainability through rigorous testing and best practices.
- Work in a cross-functional, agile team environment using tools like Git, Jira, and Confluence.
- Engage in learning, share knowledge and support your team to achieve the best possible results together.
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Vollzeit
Linz, Salzburg
11.12.2025
Linz, Salzburg
ALL ABOUT: CREATING SAFETY BY TECHNOLOGY
- Conduct manual and automated tests using frameworks like Cypress, k6, and ChaosMesh.
- Maintain high-quality standards through comprehensive testing and best practices.
- Apply various testing techniques, including performance and security testing.
- Diagnose and resolve test failures with detailed analysis and collaboration.
- Work in a cross-functional, agile team environment using tools like Git, Jira, and Confluence.
- Engage in learning, share knowledge and support your team to achieve the best possible results together.
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ALL ABOUT: CREATING SAFETY BY TECHNOLOGY
- Design and develop high-performance Angular applications using TypeScript, HTML, and SCSS.
- Utilize modern frontend technologies like Angular 18, Nx, RxJS, and NgRx.
- Plan and architect scalable software solutions using established design patterns.
- Collaborate closely with UX experts to design and transform mockups into functional solutions.
- Work in a cross-functional, agile team environment using tools like Git, Jira, and Confluence.
- Engage in learning, share knowledge and support your team to achieve the best possible results together.
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RESPONSIBILITIES
- 3+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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